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所在平台: Udemy |
课程主页: https://www.udemy.com/course/linear-algebra-complete-guide/
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课程名称:线性代数 - 完整指南与实际例子 课程概述:您是否对线性代数有兴趣?线性代数在几乎所有数学领域中都至关重要。它对现代几何的表述具有基础性作用,包括定义线、平面和旋转等基本对象。同时,函数分析这一数学分析的分支可以视为将线性代数应用于函数空间的形式。该课程为您提供了线性代数多个概念和实践问题的广泛概述。如果您希望从零开始学习线性代数,成为线性代数的高手,这门课程非常适合您!本课程旨在帮助您建立坚实的线性代数基础,让您可以在自己的时间表上学习,成本也远低于传统大学的课程,从而更好地实现您的职业目标。 课程内容包括:实数n维向量空间,抽象向量空间及其公理,线性变换,内积,正交性,叉积及其几何应用,子空间,线性独立性,向量空间的基,维度,矩阵秩,特征向量,特征值,以及矩阵对角化等内容。
Are you interested in learning more about linear algebra? Linear algebra is central to almost all areas of mathematics. For instance, linear algebra is fundamental in modern presentations of geometry, including for defining basic objects such as lines, planes, and rotations. Also, functional analysis, a branch of mathematical analysis, may be viewed as the application of linear algebra to spaces of functions. If this sounds interesting to you then I encourage you to check out my blog or consider signing up for one of my classes on Udemy!This course gives you a broad overview of several concepts and practice problems of Algebra. If you want to learn Algebra concepts from scratch and become an Algebra master, this course is for you!If you're looking to gain a solid foundation in Linear Algebra, allowing you to study on your own schedule at a fraction of the cost it would take at a traditional university, to further your career goals, this online course is for youThe course aims to introduce Real n-dimensional vector spaces, Abstract vector spaces and their axioms,Linear Transformations,Inner Product, Orthogonality, Cross product and their geometric applications,Subspaces, Lines Independence,Bases for Vector Spaces,Dimension, Matrix Rank, Eigen Vectors, Eigen Values, Matrix Diagonalization